[GRASS-user] Interpolating rainfall data across area from points

[Laurent C.]

Hi Rich,

In the debate kriging vs deterministic rainfall interpolation, the
following article may be of interest:
https://doi.org/10.1016/j.proeng.2016.07.595

Laurent

Le lun. 24 sept. 2018 à 16:32, Rich Shepard <rshepard at appl-ecosys.com> a
écrit :

>    I want to determine whether GRASS or R is best suited to
> interpolating/extrapolating annual mean precipitation data from 58
> reporting
> stations (unevenly distributed within the county) across the county. Some
> flavor of kriging would be applied to these data to illustrate a general
> long-term pattern of rainfall.
>
>    Some years ago there was both a static display of a chemical constituent
> in a river reach, a "heat map", (and an automation of temporal changes, if
> I
> correctly recall) and I'm not finding this in the web site galleries.
>
>    While elevation could be included as an explanatory variable using
> regression kriging my purpose is to illustrate county-wide mean annual
> rainfall
> distribution over a 13 year period, not to interpolate values for specific,
> unsampled locations.
>
>    Please provide some thoughts on the work flow to do this within GRASS.
> I'm
> digging into the gstat docs to get a sense of how to do this within R (and
> I
> have the rgrass7 package working well; it imported the GRASS county
> boundary
> map which I converted to a SpatialPolygonDataFrame.)
>
> Rich
>
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